I just finished AI basics, and it was very interesting and fun to talk with Copilot on my laptop (I renamed mine Falcon, Go Falcons!). I asked him a ton of questions and started asking him to remember things about me to tailor his responses based on me and my goals. But I also asked him to help summarize some of the top LLMs (and their pros and cons) in case I wanted to explore using others. Here is what I was provided, which I thought would be interesting to share:
Top Large Language Models (LLMs) Overview
- GPT (OpenAI)Known for: Versatile natural language generation Strengths: Conversation, creative writing, summarization, coding Use cases: Chatbots, content creation, tutoring, productivity tools
- Claude (Anthropic)Known for: Safety-focused and interpretable responses Strengths: Ethical alignment, helpfulness, calm tone Use cases: Customer support, educational tools, sensitive applications
- BERT (Google)Known for: Deep natural language understanding Strengths: Sentiment analysis, question answering, search relevance Use cases: Search engines, classification tasks, NLP pipelines
- T5 (Google)Known for: Text-to-text framework for multiple NLP tasks Strengths: Translation, summarization, question answering Use cases: Multi-task learning, document processing, automation
- Codex (OpenAI)
- Known for: Code generation from natural language
- Strengths: Programming support, code explanation, debugging
- Use cases: Developer tools, educational platforms, automation scripts